Book Image

Hadoop Blueprints

By : Anurag Shrivastava, Tanmay Deshpande
Book Image

Hadoop Blueprints

By: Anurag Shrivastava, Tanmay Deshpande

Overview of this book

If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space.
Table of Contents (14 chapters)
Hadoop Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

A business case for sensor data analytics


Consider a factory that produces goods, with many people working under the same roof. Because of the activity of the machines in the factory, environmental conditions such as temperature, humidity, voltage, and light are always changing. In order to ensure that all the workers and machines stay healthy and in good condition, we need to constantly monitor these environmental conditions and make sure everything is under control. In order to achieve this, let's assume that the company has deployed sensors at various points, as shown in the following figure.

The preceding image depicts the factory area, and the numbers in black indicate the places where sensors have been deployed.

Now we are going to implement a solution that collects and process this data in order to make sure that the conditions are under control.